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annotate utils/seriestables/series.py @ 251:02b141a466b4

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ajout de fonctionnalite pour different finetune dataset
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Tue, 16 Mar 2010 21:24:30 -0400
parents 0515a8901c6a
children
rev   line source
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e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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1 import tables
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2
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3 import numpy
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4 import time
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5
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6 ##############################################################################
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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7 # Utility functions to create IsDescription objects (pytables data types)
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8
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acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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9 '''
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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10 The way these "IsDescription constructor" work is simple: write the
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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11 code as if it were in a file, then exec()ute it, leaving us with
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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12 a local-scoped LocalDescription which may be used to call createTable.
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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13
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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14 It's a small hack, but it's necessary as the names of the columns
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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15 are retrieved based on the variable name, which we can't programmatically set
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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16 otherwise.
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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17 '''
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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18
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19 def _get_description_timestamp_cpuclock_columns(store_timestamp, store_cpuclock, pos=0):
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20 toexec = ""
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0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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21
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22 if store_timestamp:
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23 toexec += "\ttimestamp = tables.Time32Col(pos="+str(pos)+")\n"
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24 pos += 1
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25
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26 if store_cpuclock:
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27 toexec += "\tcpuclock = tables.Float64Col(pos="+str(pos)+")\n"
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28 pos += 1
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29
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30 return toexec, pos
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31
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32 def _get_description_n_ints(int_names, int_width=64, pos=0):
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dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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33 """
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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34 Begins construction of a class inheriting from IsDescription
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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35 to construct an HDF5 table with index columns named with int_names.
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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36
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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37 See Series().__init__ to see how those are used.
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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38 """
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e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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39 int_constructor = "tables.Int64Col"
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acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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40 if int_width == 32:
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e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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41 int_constructor = "tables.Int32Col"
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42 elif not int_width in (32, 64):
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43 raise "int_width must be left unspecified, or should equal 32 or 64"
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44
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45 toexec = ""
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46
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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47 for n in int_names:
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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48 toexec += "\t" + n + " = " + int_constructor + "(pos=" + str(pos) + ")\n"
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49 pos += 1
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50
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51 return toexec, pos
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52
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53 def _get_description_with_n_ints_n_floats(int_names, float_names,
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54 int_width=64, float_width=32,
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55 store_timestamp=True, store_cpuclock=True):
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acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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56 """
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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57 Constructs a class to be used when constructing a table with PyTables.
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58
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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59 This is useful to construct a series with an index with multiple levels.
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60 E.g. if you want to index your "validation error" with "epoch" first, then
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61 "minibatch_index" second, you'd use two "int_names".
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62
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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63 Parameters
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64 ----------
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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65 int_names : tuple of str
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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66 Names of the int (e.g. index) columns
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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67 float_names : tuple of str
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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68 Names of the float (e.g. error) columns
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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69 int_width : {'32', '64'}
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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70 Type of ints.
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71 float_width : {'32', '64'}
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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72 Type of floats.
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73 store_timestamp : bool
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74 See __init__ of Series
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75 store_cpuclock : bool
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76 See __init__ of Series
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77
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78 Returns
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79 -------
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80 A class object, to pass to createTable()
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81 """
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82
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83 toexec = "class LocalDescription(tables.IsDescription):\n"
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84
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85 toexec_, pos = _get_description_timestamp_cpuclock_columns(store_timestamp, store_cpuclock)
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86 toexec += toexec_
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87
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88 toexec_, pos = _get_description_n_ints(int_names, int_width=int_width, pos=pos)
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89 toexec += toexec_
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90
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91 float_constructor = "tables.Float32Col"
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92 if float_width == 64:
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93 float_constructor = "tables.Float64Col"
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94 elif not float_width in (32, 64):
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95 raise "float_width must be left unspecified, or should equal 32 or 64"
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96
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97 for n in float_names:
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98 toexec += "\t" + n + " = " + float_constructor + "(pos=" + str(pos) + ")\n"
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99 pos += 1
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100
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101 exec(toexec)
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102
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103 return LocalDescription
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104
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105 ##############################################################################
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106 # Series classes
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107
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108 # Shortcut to allow passing a single int as index, instead of a tuple
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109 def _index_to_tuple(index):
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110 if type(index) == tuple:
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111 return index
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112
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113 if type(index) == list:
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114 index = tuple(index)
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115 return index
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116
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117 try:
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118 if index % 1 > 0.001 and index % 1 < 0.999:
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119 raise
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120 idx = long(index)
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121 return (idx,)
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122 except:
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123 raise TypeError("index must be a tuple of integers, or at least a single integer")
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124
208
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125 class Series():
220
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126 """
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127 Base Series class, with minimal arguments and type checks.
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128
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129 Yet cannot be used by itself (it's append() method raises an error)
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130 """
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131
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132 def __init__(self, table_name, hdf5_file, index_names=('epoch',),
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133 title="", hdf5_group='/',
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134 store_timestamp=True, store_cpuclock=True):
210
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135 """Basic arguments each Series must get.
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136
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137 Parameters
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138 ----------
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139 table_name : str
220
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140 Name of the table to create under group "hd5_group" (other
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141 parameter). No spaces, ie. follow variable naming restrictions.
210
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142 hdf5_file : open HDF5 file
220
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143 File opened with openFile() in PyTables (ie. return value of
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144 openFile).
210
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145 index_names : tuple of str
220
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146 Columns to use as index for elements in the series, other
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147 example would be ('epoch', 'minibatch'). This would then allow
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148 you to call append(index, element) with index made of two ints,
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149 one for epoch index, one for minibatch index in epoch.
210
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150 title : str
220
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151 Title to attach to this table as metadata. Can contain spaces
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152 and be longer then the table_name.
210
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153 hdf5_group : str
220
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154 Path of the group (kind of a file) in the HDF5 file under which
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155 to create the table.
218
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156 store_timestamp : bool
220
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157 Whether to create a column for timestamps and store them with
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158 each record.
218
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159 store_cpuclock : bool
220
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160 Whether to create a column for cpu clock and store it with
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161 each record.
210
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162 """
220
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163
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164 #########################################
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165 # checks
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166
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167 if type(table_name) != str:
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168 raise TypeError("table_name must be a string")
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169 if table_name == "":
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170 raise ValueError("table_name must not be empty")
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171
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172 if not isinstance(hdf5_file, tables.file.File):
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173 raise TypeError("hdf5_file must be an open HDF5 file (use tables.openFile)")
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174 #if not ('w' in hdf5_file.mode or 'a' in hdf5_file.mode):
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175 # raise ValueError("hdf5_file must be opened in write or append mode")
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176
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177 if type(index_names) != tuple:
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178 raise TypeError("index_names must be a tuple of strings." + \
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179 "If you have only one element in the tuple, don't forget " +\
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180 "to add a comma, e.g. ('epoch',).")
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181 for name in index_names:
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182 if type(name) != str:
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183 raise TypeError("index_names must only contain strings, but also"+\
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184 "contains a "+str(type(name))+".")
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185
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186 if type(title) != str:
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187 raise TypeError("title must be a string, even if empty")
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188
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189 if type(hdf5_group) != str:
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190 raise TypeError("hdf5_group must be a string")
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191
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192 if type(store_timestamp) != bool:
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193 raise TypeError("store_timestamp must be a bool")
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194
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195 if type(store_cpuclock) != bool:
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196 raise TypeError("store_timestamp must be a bool")
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197
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198 #########################################
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199
208
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200 self.table_name = table_name
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201 self.hdf5_file = hdf5_file
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202 self.index_names = index_names
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203 self.title = title
220
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204 self.hdf5_group = hdf5_group
208
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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205
218
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206 self.store_timestamp = store_timestamp
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207 self.store_cpuclock = store_cpuclock
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208
208
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209 def append(self, index, element):
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210 raise NotImplementedError
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211
218
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212 def _timestamp_cpuclock(self, newrow):
224
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213 if self.store_timestamp:
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214 newrow["timestamp"] = time.time()
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215
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216 if self.store_cpuclock:
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217 newrow["cpuclock"] = time.clock()
218
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218
210
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219 class DummySeries():
220
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220 """
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221 To put in a series dictionary instead of a real series, to do nothing
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222 when we don't want a given series to be saved.
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223
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224 E.g. if we'd normally have a "training_error" series in a dictionary
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225 of series, the training loop would have something like this somewhere:
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226
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227 series["training_error"].append((15,), 20.0)
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228
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229 but if we don't want to save the training errors this time, we simply
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230 do
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231
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232 series["training_error"] = DummySeries()
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233 """
210
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234 def append(self, index, element):
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235 pass
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236
208
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237 class ErrorSeries(Series):
220
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238 """
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239 Most basic Series: saves a single float (called an Error as this is
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240 the most common use case I foresee) along with an index (epoch, for
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241 example) and timestamp/cpu.clock for each of these floats.
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242 """
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243
218
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244 def __init__(self, error_name, table_name,
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245 hdf5_file, index_names=('epoch',),
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246 title="", hdf5_group='/',
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247 store_timestamp=True, store_cpuclock=True):
220
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248 """
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249 For most parameters, see Series.__init__
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250
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251 Parameters
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252 ----------
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253 error_name : str
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254 In the HDF5 table, column name for the error float itself.
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255 """
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256
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257 # most type/value checks are performed in Series.__init__
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258 Series.__init__(self, table_name, hdf5_file, index_names, title,
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259 store_timestamp=store_timestamp,
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260 store_cpuclock=store_cpuclock)
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261
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262 if type(error_name) != str:
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263 raise TypeError("error_name must be a string")
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264 if error_name == "":
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265 raise ValueError("error_name must not be empty")
208
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266
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267 self.error_name = error_name
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268
220
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269 self._create_table()
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270
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271 def _create_table(self):
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272 table_description = _get_description_with_n_ints_n_floats( \
224
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273 self.index_names, (self.error_name,),
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274 store_timestamp=self.store_timestamp,
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275 store_cpuclock=self.store_cpuclock)
208
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276
220
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277 self._table = self.hdf5_file.createTable(self.hdf5_group,
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278 self.table_name,
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279 table_description,
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280 title=self.title)
208
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281
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282
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283 def append(self, index, error):
210
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284 """
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285 Parameters
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286 ----------
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287 index : tuple of int
220
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288 Following index_names passed to __init__, e.g. (12, 15) if
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289 index_names were ('epoch', 'minibatch_size').
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290 A single int (not tuple) is acceptable if index_names has a single
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291 element.
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292 An array will be casted to a tuple, as a convenience.
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293
210
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294 error : float
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295 Next error in the series.
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296 """
220
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297 index = _index_to_tuple(index)
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298
208
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299 if len(index) != len(self.index_names):
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300 raise ValueError("index provided does not have the right length (expected " \
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301 + str(len(self.index_names)) + " got " + str(len(index)))
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302
220
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303 # other checks are implicit when calling newrow[..] =,
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304 # which should throw an error if not of the right type
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305
208
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306 newrow = self._table.row
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307
210
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308 # Columns for index in table are based on index_names
208
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309 for col_name, value in zip(self.index_names, index):
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310 newrow[col_name] = value
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311 newrow[self.error_name] = error
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312
220
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313 # adds timestamp and cpuclock to newrow if necessary
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314 self._timestamp_cpuclock(newrow)
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315
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316 newrow.append()
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317
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318 self.hdf5_file.flush()
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319
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320 # Does not inherit from Series because it does not itself need to
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321 # access the hdf5_file and does not need a series_name (provided
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322 # by the base_series.)
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323 class AccumulatorSeriesWrapper():
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324 '''
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325 Wraps a Series by accumulating objects passed its Accumulator.append()
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326 method and "reducing" (e.g. calling numpy.mean(list)) once in a while,
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327 every "reduce_every" calls in fact.
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328 '''
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329
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330 def __init__(self, base_series, reduce_every, reduce_function=numpy.mean):
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331 """
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332 Parameters
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333 ----------
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334 base_series : Series
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335 This object must have an append(index, value) function.
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336
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337 reduce_every : int
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338 Apply the reduction function (e.g. mean()) every time we get this
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339 number of elements. E.g. if this is 100, then every 100 numbers
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340 passed to append(), we'll take the mean and call append(this_mean)
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341 on the BaseSeries.
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342
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343 reduce_function : function
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344 Must take as input an array of "elements", as passed to (this
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345 accumulator's) append(). Basic case would be to take an array of
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346 floats and sum them into one float, for example.
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347 """
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348 self.base_series = base_series
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349 self.reduce_function = reduce_function
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350 self.reduce_every = reduce_every
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351
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352 self._buffer = []
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353
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354
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355 def append(self, index, element):
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356 """
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357 Parameters
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358 ----------
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359 index : tuple of int
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360 The index used is the one of the last element reduced. E.g. if
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361 you accumulate over the first 1000 minibatches, the index
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362 passed to the base_series.append() function will be 1000.
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363 A single int (not tuple) is acceptable if index_names has a single
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364 element.
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365 An array will be casted to a tuple, as a convenience.
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366
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367 element : float
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368 Element that will be accumulated.
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369 """
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370 self._buffer.append(element)
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371
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372 if len(self._buffer) == self.reduce_every:
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373 reduced = self.reduce_function(self._buffer)
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374 self.base_series.append(index, reduced)
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375 self._buffer = []
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376
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377 # The >= case should never happen, except if lists
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378 # were appended by accessing _buffer externally (when it's
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379 # intended to be private), which should be a red flag.
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380 assert len(self._buffer) < self.reduce_every
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381
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382 # Outside of class to fix an issue with exec in Python 2.6.
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383 # My sorries to the god of pretty code.
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384 def _BasicStatisticsSeries_construct_table_toexec(index_names, store_timestamp, store_cpuclock):
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385 toexec = "class LocalDescription(tables.IsDescription):\n"
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386
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387 toexec_, pos = _get_description_timestamp_cpuclock_columns(store_timestamp, store_cpuclock)
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388 toexec += toexec_
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389
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390 toexec_, pos = _get_description_n_ints(index_names, pos=pos)
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391 toexec += toexec_
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392
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393 toexec += "\tmean = tables.Float32Col(pos=" + str(pos) + ")\n"
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394 toexec += "\tmin = tables.Float32Col(pos=" + str(pos+1) + ")\n"
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395 toexec += "\tmax = tables.Float32Col(pos=" + str(pos+2) + ")\n"
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396 toexec += "\tstd = tables.Float32Col(pos=" + str(pos+3) + ")\n"
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397
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398 # This creates "LocalDescription", which we may then use
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399 exec(toexec)
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400
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401 return LocalDescription
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402
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403 # Defaults functions for BasicStatsSeries. These can be replaced.
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404 _basic_stats_functions = {'mean': lambda(x): numpy.mean(x),
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405 'min': lambda(x): numpy.min(x),
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406 'max': lambda(x): numpy.max(x),
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407 'std': lambda(x): numpy.std(x)}
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408
208
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409 class BasicStatisticsSeries(Series):
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410
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411 def __init__(self, table_name, hdf5_file,
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412 stats_functions=_basic_stats_functions,
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413 index_names=('epoch',), title="", hdf5_group='/',
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414 store_timestamp=True, store_cpuclock=True):
220
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415 """
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416 For most parameters, see Series.__init__
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417
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418 Parameters
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419 ----------
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420 series_name : str
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421 Not optional here. Will be prepended with "Basic statistics for "
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422
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423 stats_functions : dict, optional
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424 Dictionary with a function for each key "mean", "min", "max",
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425 "std". The function must take whatever is passed to append(...)
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426 and return a single number (float).
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427 """
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428
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429 # Most type/value checks performed in Series.__init__
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430 Series.__init__(self, table_name, hdf5_file, index_names, title,
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431 store_timestamp=store_timestamp,
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432 store_cpuclock=store_cpuclock)
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433
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434 if type(hdf5_group) != str:
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435 raise TypeError("hdf5_group must be a string")
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436
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437 if type(stats_functions) != dict:
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438 # just a basic check. We'll suppose caller knows what he's doing.
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439 raise TypeError("stats_functions must be a dict")
208
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440
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441 self.hdf5_group = hdf5_group
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442
210
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443 self.stats_functions = stats_functions
208
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444
220
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445 self._create_table()
210
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446
220
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447 def _create_table(self):
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448 table_description = \
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449 _BasicStatisticsSeries_construct_table_toexec( \
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450 self.index_names,
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451 self.store_timestamp, self.store_cpuclock)
208
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452
220
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453 self._table = self.hdf5_file.createTable(self.hdf5_group,
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454 self.table_name, table_description)
208
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455
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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456 def append(self, index, array):
210
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457 """
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458 Parameters
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459 ----------
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460 index : tuple of int
220
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461 Following index_names passed to __init__, e.g. (12, 15)
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462 if index_names were ('epoch', 'minibatch_size')
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463 A single int (not tuple) is acceptable if index_names has a single
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464 element.
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465 An array will be casted to a tuple, as a convenience.
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466
210
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467 array
220
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468 Is of whatever type the stats_functions passed to
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469 __init__ can take. Default is anything numpy.mean(),
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470 min(), max(), std() can take.
210
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471 """
220
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472 index = _index_to_tuple(index)
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473
208
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474 if len(index) != len(self.index_names):
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475 raise ValueError("index provided does not have the right length (expected " \
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476 + str(len(self.index_names)) + " got " + str(len(index)))
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477
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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478 newrow = self._table.row
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479
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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480 for col_name, value in zip(self.index_names, index):
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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481 newrow[col_name] = value
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482
210
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483 newrow["mean"] = self.stats_functions['mean'](array)
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484 newrow["min"] = self.stats_functions['min'](array)
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485 newrow["max"] = self.stats_functions['max'](array)
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486 newrow["std"] = self.stats_functions['std'](array)
208
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487
218
4c137f16b013 Modifications pour stocker des timestamps/cpuclock avec chaque rangée créée, selon suggestion de Yoshua ce matin
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488 self._timestamp_cpuclock(newrow)
4c137f16b013 Modifications pour stocker des timestamps/cpuclock avec chaque rangée créée, selon suggestion de Yoshua ce matin
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489
208
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490 newrow.append()
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491
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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492 self.hdf5_file.flush()
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493
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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494 class SeriesArrayWrapper():
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495 """
220
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496 Simply redistributes any number of elements to sub-series to respective
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497 append()s.
210
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498
220
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499 To use if you have many elements to append in similar series, e.g. if you
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500 have an array containing [train_error, valid_error, test_error], and 3
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501 corresponding series, this allows you to simply pass this array of 3
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502 values to append() instead of passing each element to each individual
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503 series in turn.
208
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504 """
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505
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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506 def __init__(self, base_series_list):
220
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507 """
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508 Parameters
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509 ----------
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510 base_series_list : array or tuple of Series
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diff changeset
511 You must have previously created and configured each of those
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diff changeset
512 series, then put them in an array. This array must follow the
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513 same order as the array passed as ``elements`` parameter of
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514 append().
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515 """
208
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516 self.base_series_list = base_series_list
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517
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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518 def append(self, index, elements):
220
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519 """
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520 Parameters
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521 ----------
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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522 index : tuple of int
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523 See for example ErrorSeries.append()
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diff changeset
524
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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525 elements : array or tuple
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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526 Array or tuple of elements that will be passed down to
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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527 the base_series passed to __init__, in the same order.
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528 """
208
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
529 if len(elements) != len(self.base_series_list):
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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530 raise ValueError("not enough or too much elements provided (expected " \
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
531 + str(len(self.base_series_list)) + " got " + str(len(elements)))
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
532
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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533 for series, el in zip(self.base_series_list, elements):
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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534 series.append(index, el)
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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535
210
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536 class SharedParamsStatisticsWrapper(SeriesArrayWrapper):
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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537 '''
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
538 Save mean, min/max, std of shared parameters place in an array.
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
539
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
540 Here "shared" means "theano.shared", which means elements of the
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
541 array will have a .value to use for numpy.mean(), etc.
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
542
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
543 This inherits from SeriesArrayWrapper, which provides the append()
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
544 method.
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
545 '''
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
546
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
547 def __init__(self, arrays_names, new_group_name, hdf5_file,
224
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
548 base_group='/', index_names=('epoch',), title="",
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
549 store_timestamp=True, store_cpuclock=True):
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
550 """
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
551 For other parameters, see Series.__init__
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
552
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
553 Parameters
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
554 ----------
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
555 array_names : array or tuple of str
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
556 Name of each array, in order of the array passed to append(). E.g.
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
557 ('layer1_b', 'layer1_W', 'layer2_b', 'layer2_W')
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
558
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
559 new_group_name : str
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
560 Name of a new HDF5 group which will be created under base_group to
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
561 store the new series.
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
562
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
563 base_group : str
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
564 Path of the group under which to create the new group which will
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
565 store the series.
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
566
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
567 title : str
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
568 Here the title is attached to the new group, not a table.
224
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
569
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
570 store_timestamp : bool
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
571 Here timestamp and cpuclock are stored in *each* table
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
572
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
573 store_cpuclock : bool
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
574 Here timestamp and cpuclock are stored in *each* table
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
575 """
220
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
576
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
577 # most other checks done when calling BasicStatisticsSeries
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
578 if type(new_group_name) != str:
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
579 raise TypeError("new_group_name must be a string")
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
580 if new_group_name == "":
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
581 raise ValueError("new_group_name must not be empty")
e172ef73cdc5 Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
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diff changeset
582
208
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
583 base_series_list = []
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
584
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
585 new_group = hdf5_file.createGroup(base_group, new_group_name, title=title)
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
586
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
587 stats_functions = {'mean': lambda(x): numpy.mean(x.value),
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
588 'min': lambda(x): numpy.min(x.value),
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
savardf
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diff changeset
589 'max': lambda(x): numpy.max(x.value),
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
590 'std': lambda(x): numpy.std(x.value)}
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
savardf
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diff changeset
591
208
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
592 for name in arrays_names:
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
593 base_series_list.append(
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
594 BasicStatisticsSeries(
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
595 table_name=name,
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
596 hdf5_file=hdf5_file,
210
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
597 index_names=index_names,
dc0d77c8a878 Commented table_series code, changed ParamsStatisticsArray to take shared params instead, create DummySeries to use when we don't want to save a named series
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diff changeset
598 stats_functions=stats_functions,
224
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
599 hdf5_group=new_group._v_pathname,
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
600 store_timestamp=store_timestamp,
0515a8901c6a Corrigé un bug avec store_timestamp/cpuclock, et tests pour éviter ce cas
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diff changeset
601 store_cpuclock=store_cpuclock))
208
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
602
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
603 SeriesArrayWrapper.__init__(self, base_series_list)
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
604
acb942530923 Completely rewrote my series module, now based on HDF5 and PyTables (in a separate directory called 'tables_series' for retrocompatibility of running code). Minor (inconsequential) changes to stacked_dae.
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diff changeset
605